Design and optimization of a Ku-band compact axial corrugated horn antenna using ANFIS

Gupta Jay Vishnu, Grishma Jani, D. Pujara
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引用次数: 7

Abstract

This paper presents the development of the Adaptive Neuro-Fuzzy Inference System (ANFIS) based CAD tool for designing an axially corrugated horn antenna, which has proved its dominance as a feed for the applications where small aperture antennas are being considered. In this paper, the design and optimization of a Ku-band compact corrugated horn antenna is demonstrated using the ANFIS technique. The performance in terms of radiation pattern, peak gain and return loss of a horn designed using the ANFIS algorithm is compared with that of a horn designed using the commercially available antenna design software. The results of the horn designed by ANFIS were found accurate and attained within a short processing time and with limited computational resources as compared to the conventional horn design techniques.
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基于ANFIS的ku波段紧凑轴向波纹喇叭天线设计与优化
本文介绍了基于自适应神经模糊推理系统(ANFIS)的CAD工具的开发,用于设计轴向波纹喇叭天线,在考虑小孔径天线的应用中证明了它的优势。本文利用ANFIS技术对ku波段紧凑型波纹喇叭天线进行了设计与优化。用ANFIS算法设计的喇叭在辐射方向图、峰值增益和回波损耗方面的性能与使用市售天线设计软件设计的喇叭进行了比较。与传统的喇叭设计技术相比,ANFIS设计的喇叭在较短的处理时间和有限的计算资源内获得了准确的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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Design of a novel CPW filter using asymmetric DGS Preliminary performance evaluation of IRNSS-GPS-SBAS receiver in terms of position accuracy and velocity Compact collapsible wideband VHF antenna Graded porous wall configuration for radome applications Design and optimization of a Ku-band compact axial corrugated horn antenna using ANFIS
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